Cold standby reliability redundancy distribution method and system based on swarm intelligence algorithm

A swarm intelligence algorithm and redundant allocation technology, applied in general control systems, control/regulation systems, test/monitoring control systems, etc., can solve problems such as unsuitable for computing system reliability, infeasibility, etc.

Inactive Publication Date: 2020-12-29
FOSHAN UNIVERSITY
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Problems solved by technology

Moreover, the most famous cold standby RRAP algorithm is based on genetic algorithm, whi

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  • Cold standby reliability redundancy distribution method and system based on swarm intelligence algorithm
  • Cold standby reliability redundancy distribution method and system based on swarm intelligence algorithm
  • Cold standby reliability redundancy distribution method and system based on swarm intelligence algorithm

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[0109] The concept, specific structure and technical effects of the present disclosure will be clearly and completely described below in conjunction with the embodiments and drawings, so as to fully understand the purpose, scheme and effect of the present disclosure. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0110] The present disclosure mainly aims to solve the cold standby RRAP problem, so as to optimize the system reliability of the cold standby redundant system. Cold standby RRAP is also a mixed integer optimization programming model, which is difficult to solve using traditional methods. Therefore, this disclosure proposes a cold standby reliability redundancy allocation method based on swarm intelligence algorithm, a new soft computing method called SEB method in this disclosure, to obtain the optimal or high-quality solution of RRAP of the cold st...

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Abstract

The invention discloses a cold standby reliability redundancy distribution method and system based on a swarm intelligence algorithm, and aims to solve the problem of RRAP cold standby reliability redundancy distribution so as to optimize the system reliability of a cold standby redundancy system. The cold standby RRAP is also a model of mixed integer optimization programming; and the problem is difficult to solve by using a traditional method. According to the invention, in the cold standby redundancy system, a new solution structure is adopted; the number of variables is reduced by half; thepreprocessing of each variable boundary is found to reduce the solution space; a new SSO updating mechanism is adopted to be combined with elite selection to balance utilization and exploration and new local search so as to improve newly discovered gBest and solve the cold standby RRAP; and the optimal or high-quality solution of the RRAP of the cold standby redundancy system is obtained, the solution quality, the solution feasibility and unused resources of the final optimal solution are greatly reduced, the cold standby redundancy of the server and the like is greatly reduced, and the server operation efficiency of the cold standby redundancy system is improved.

Description

technical field [0001] The present disclosure relates to the fields of soft computing technology, cold standby technology, and data optimization technology, and more specifically relates to a cold standby reliability redundancy allocation method and system based on a swarm intelligence algorithm. Background technique [0002] The approach of Redundancy Allocation Problem (RAP) plays a vital role in reliability design in modern industry [1-27]. It enhances the reliability and availability of a system consisting of a specific number of subsystems by providing redundant components. Adding redundancy increases the cost and complexity of the system design, however this approach remains an attractive option as long as the cost of failure is high enough [39-41]. [0003] The Reliability-Redundancy Assignment Problem (RRAP) is the most idiomatic RAP method, and it is also a classic optimization method problem, which considers the optimal combination of parallel enhanced component r...

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 郝志峰叶维彰朱文博
Owner FOSHAN UNIVERSITY
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